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                Scholarship code: SRS-25035 This inaugural Industry PhD scholarship with the Department of Health and La Trobe University will be awarded to an outstanding Maternal and Child Health (MCH) nurse 
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                proposals, and applicants are invited to develop entirely different proposals. Investigating theories/strategies of prompt completion and/or moderation in line with specific moral or ethical codes; Studying 
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                future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface 
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                individualized cancer care plans. Coding and user interface development skills will be developed. This scholarship is open only to Australian citizens, Australian permanent residents, or New Zealand special 
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                children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers 
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                vehicles capture videos or images for underwater pipes for inspection purposes. However, highly blurry or poor-quality videos can only be received under noisy environment. Therefore, developing accurate 
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                Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration 
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                the University’s code of conduct for research and student travel policy): Research Integrity Principles, Student Travel and Transport Policy (MPF1209), Graduate Research Training Policy (MPF1321), Academic Progress 
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                Scholarship code: SRS-25030 These prestigious La Trobe University scholarships (2), in partnership with the Australian Office of National Intelligence, will be awarded to outstanding applicants 
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                also need to be comfortable with online video software, and to learn and deliver the 4Ds with close supervision, review its empirical foundations, and understand and apply its theoretical principles